SME – Static Equipment

Job Requirements

Solution Deployment & Model Enablement

• Support end-to-end deployment and operationalization of AVEVA predictive analytics and asset performance solutions across customer facilities.
• Provide static equipment and integrity engineering subject matter expertise during asset onboarding, solution configuration, and model development phases.
• Work closely with analytics, data science, product, and delivery teams to ensure predictive models accurately reflect:
• Equipment operating behaviour
• Degradation mechanisms
• Process conditions
• Inspection strategies
• Failure modes and operating envelopes
• Support asset criticality assessments, use case definition, and identification of high-value monitoring opportunities for:
• Pressure vessels
• Heat exchangers
• Columns
• Tanks
• Piping systems
• Associated static assets
• Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go-live.
• Correlate predictive model outputs with operational and integrity data including:
• Fouling trends
• Pressure drop analysis
• Temperature profiles
• Inspection findings
• Thickness measurements
• Historical maintenance and failure records
• Validate model outputs against known equipment behaviour and operating conditions to improve model accuracy and reliability.
• Provide engineering input to support expansion of predictive monitoring coverage to additional static assets and facilities.

Predictive Monitoring, Sustainment & Value Realization

• Monitor and manage predictive anomaly alerts for deployed static equipment assets.
• Assess alert severity, validate operational impact, and recommend appropriate prioritization and corrective actions.
• Identify early indicators of:
• Fouling
• Wall thinning
• Pressure losses
• Thermal degradation
• Integrity deterioration
• Process performance deviations
• Recommend proactive inspection, cleaning, repair, and operational intervention strategies prior to failures or shutdowns.
• Collaborate with customer maintenance, inspection, operations, process, and reliability teams to plan and execute corrective and preventive activities.
• Review, validate, and operationalize AI/analytics-driven recommendations generated through deployed AVEVA solutions.
• Support Risk-Based Inspection (RBI), integrity management, and static equipment reliability improvement initiatives.
• Ensure predictive models remain aligned with actual operating conditions, inspection strategies, and asset behaviour throughout the sustainment lifecycle.
• Act as the primary technical focal point during sustainment and managed service phases for assigned static equipment asset portfolios.
• Support continuous improvement, model refinement, and enhancement of predictive monitoring effectiveness.
• Track and report reliability and value realization KPIs including:
• + Deferred failures
• + Avoided shutdowns
• + Reduced maintenance costs
• + Improved equipment availability
• + Inspection optimization benefits
• Participate in governance meetings, technical reviews, workshops, and value realization sessions with customer stakeholders and project teams.
• Provide operational feedback and engineering recommendations to analytics, product, and delivery teams to improve solution performance and customer outcomes.
• Support long-term customer adoption, sustainment, and continuous business value realization from deployed predictive analytics solutions.
• Conduct periodic visits to customer plants, operational facilities, and industrial sites to support deployment activities, technical assessments, alert validation, and stakeholder engagement.
• We are known for our extraordinary people who make the impossible possible every day.
• Questians are driven by hunger, humility, and aspiration.
• We believe that our company culture is the key to our ability to make a true difference in every industry we reach.
• Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.
• We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas.
• We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds.
• We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.

Required Qualifications

• Bachelor’s degree in Mechanical Engineering or related engineering discipline.
• Minimum 10 years of static equipment engineering experience within oil & gas, petrochemical, refining, gas processing, or industrial environments.
• Strong background in inspection engineering, maintenance engineering, or asset integrity management within operating facilities.
• Expertise in pressure vessels, heat exchangers, columns, piping systems, tanks, and associated static assets.
• Familiarity with API 510, API 570, API 579, and integrity assessment methodologies preferred.
• Strong understanding of degradation mechanisms, inspection strategies, and operational reliability practices.
• Experience interpreting operational and integrity data from SCADA, PI Historian / OSIsoft, or equivalent industrial systems.
• Familiarity with predictive analytics platforms, industrial AI systems, or digital reliability solutions preferred.
• Middle East or GCC operating environment experience preferred.

Preferred Certifications

• API 510 – Pressure Vessel Inspector
• API 570 – Piping Inspector
• API 579 / Fitness-for-Service exposure preferred
• RBI or integrity management certifications preferred

Preferred Industry Experience

• Oil & Gas operators in the Middle East region
• Upstream production facilities
• Offshore operations
• Gas processing plants
• Refineries and petrochemical facilities
• LNG and industrial energy operations

Key Skills & Competencies

• Static equipment integrity and reliability management
• Inspection planning and degradation assessment
• Predictive maintenance and integrity analytics

• Risk-Based Inspection (RBI)

• Failure analysis and troubleshooting
• Operational data interpretation and analytics validation
• Technical governance and stakeholder engagement
• Cross-functional collaboration and advisory capability